{"id":"W2085883610","doi":"10.2139/ssrn.891206","title":"The Corporate Governance Role of the Media: Evidence from Russia","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Corporate governance; Business; Political science; Accounting; Financial system; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001712847,0.0001618863,0.0004718133,0.001900974,0.001439114,0.003198393,0.0004487198,0.0008362859,0.004214451],"category_scores_gemma":[0.007079455,0.0001743629,0.0002531701,0.002473488,0.002449604,0.001496051,0.001593692,0.0007655778,0.000497323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001119695,"about_ca_system_score_gemma":0.0009795182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01523322,"about_ca_topic_score_gemma":0.0144055,"domain_scores_codex":[0.9988443,0.000450721,0.00007028308,0.0001185553,0.0002227735,0.0002934484],"domain_scores_gemma":[0.9866328,0.008512621,0.003035435,0.0004624234,0.0008803268,0.0004763583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001766677,0.0006552115,0.824257,0.0009901595,0.0006828805,0.001608392,0.03790481,0.001035561,0.004221607,0.06269869,0.003264431,0.06091455],"study_design_scores_gemma":[0.00005889763,0.0002038378,0.9548261,0.0003095604,0.0004662274,0.0002202722,0.02212721,0.0005384407,0.002060697,0.004491692,0.01467355,0.00002353212],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727534,0.001279372,0.0001998341,0.001271276,0.00001247689,0.000008225248,0.0001690565,0.000003846073,0.02430249],"genre_scores_gemma":[0.998678,0.0006600593,0.00002266596,0.00007120932,0.00001801613,0.000002404443,0.00005545665,0.00000212218,0.0004901843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01523322,"threshold_uncertainty_score":0.03028911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419053467315948,"score_gpt":0.2535445466608093,"score_spread":0.2393540119876499,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}